Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Adaptive Scheduling"”.
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Adaptive scheduling in Spark
Because most data processing systems are distributed in nature, data must be transferred between machines. Currently, Spark, a prominent such system, predetermines the strategies for shuffling this data, but in certain situations, different shuffle strategies would improve performance. We add …
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Adaptive Scheduling in Heterogeneous Distributed Computing Systems
The main focus of this research is in the area of adaptive scheduling for heterogeneous distributed systems. Given an unreliable, non-dedicated set of processing and communication resources, a scheduler is required to allocate tasks to processors. No information about the state of the system, which …
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Adaptive Scheduling and Tool Flow Control in Automated Manufacturing Systems
… robustness to system uncertainties in production scheduling decisions has increased significantly. In traditional job shops, tooling is usually assumed as a fixed resource. However, when tooling resource is shared among different machines, a greater product variety, routing flexibility with a …
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Analysis of parabolic through collector cleaning system under adaptive scheduling policy
… In this scenario, it is possible to establish an adaptive threshold policy for scheduling plant cleaning that analogous to the formulation of a (s,S) inventory management policy, subject to random replenishment of inventory. The study offers a review of related literature to establish that such …
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Adaptive Scheduling in a Distributed Cyber-Physical System: A case study on Future Power Grids
… Therefore, a decentralized way of monitoring and scheduling of energy across the power grid is preferred. In a decentralized approach, computational load is distributed among the grid entities that are interconnected through a readily available communication network like internet. The …
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Energy efficient wireless sensor network protocols for monitoring and prognostics of large scale systems
… algorithms for i) optimal routing, ii) adaptive scheduling, iii) adaptive transmission power and data-rate control"--Abstract, page iv.</p>
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A Real-Time Server Based Approach for Safe and Timely Intersection Crossings
… This manuscript presents a technology-agnostic adaptive real-time server based approach to dynamically determine signal timings at an intersection based on changing traffic conditions and queue lengths (i.e., wait times) to minimize, if not eliminate, spillbacks without unnecessarily increasing …
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Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems
… Evolution – Advanced (LTE-A). Intelligent and adaptive Radio Resource Management (RRM) schemes are a fundamental tool in the design of wireless systems to be able to fully and efficiently utilize the available scarce resources and be able to meet the user data rates and QoS requirements. …
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Autonomous grid scheduling using probabilistic job runtime scheduling
… The thesis focuses on developing a new scheduling model for general-purpose, utility clusters based on the concept of user requested job completion deadlines. In such a system, a user would be able to request each job to finish by a certain deadline, and possibly to a certain monetary …
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STANNIC: Systolic Stochastic Online Scheduling Accelerator
Efficient workload scheduling is a critical challenge in modern heterogeneous computing environments, particularly in high-performance computing (HPC) systems. Traditional software-based schedulers struggle to efficiently balance workload distribution due to high scheduling overhead, lack of …
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Heterogeneous parallel multi-radio transmission system in wireless vehicular communication
… Access Technologies (RATs). A Multiple Interface Scheduling System (MISS) is proposed, based on a user perspective, where the vehicle has visibility of all the available RATs, with no modification to the fixed infrastructure, operator independent, to improve the performance of vehicular networks. …
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Towards a Resource Efficient Framework for Distributed Deep Learning Applications
… for supercomputers, GPU-aware deep learning job scheduling, topology-aware virtual GPU training, heterogeneity-aware adaptive scheduling, and token-based incentive algorithm. In the first chapter (Chapter 3), we explore and focus on analyzing performance trend of distributed deep learning on …
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MULTI-SCALE SCHEDULING TECHNIQUES FOR SIGNAL PROCESSING SYSTEMS
… the performance critically depends on the scheduling techniques, which in general allocate computation and communication resources for competing processing tasks in the application to optimize performance metrics such as power consumption, throughput, latency, and accuracy. Signal …